International Journal of Obesity (1999) 23, 1276±1281 ß 1999 Stockton Press All rights reserved 0307±0565/99 $15.00 http://www.stockton-press.co.uk/ijo Body composition of healthy 7- and 8-year-old children and a comparison with the `reference child' CHS Ruxton1*, JJ Reilly2 and TR Kirk3 1 3 The Sugar Bureau, Dolphin Square, London, UK; 2University Department of Human Nutrition, Yorkhill Hospitals, Glasgow, UK; Centre for Food Research, Queen Margaret College, Edinburgh, UK BACKGROUND: There are few longitudinal data on body composition in healthy children. This has prompted a reliance on notional standards such as the `reference child', to validate new methods of determining body composition and comparing cross-sectional height, weight and fatness data. OBJECTIVES: These were twofold Ð to provide normative longitudinal data on changes in body composition in healthy pre-pubertal children, and to compare measures of growth and body composition with the appropriate agespeci®c reference child. DESIGN: A sample of healthy Scottish children aged 7 ± 8 y (n 257) was recruited during 1991=1992. Data on height, weight, skinfold thickness and resistance from bioelectrical impedance analysis were collected twice, 12 months apart. Percentage body fat was estimated from both skinfolds and bioelectrical impedance. RESULTS: Fat and fat-free mass, but not body mass index, differed between boys and girls. All measurements increased signi®cantly over the 12 month period except percentage body fat from skinfolds in boys. The reference child comparison revealed that our sample was taller, heavier and fatter and gained weight and fat mass at a greater rate than the Fomon standards. CONCLUSIONS: Data from the children in this study suggest that the reference child has a body composition which is now out of date. This may have important implications for body composition methodology. New references for height and weight may be required, but an upgrading of the body fat reference may con¯ict with public health aims to reduce obesity. Keywords: body composition; standards; children Introduction Measurement of body composition in childhood is of considerable importance and has a variety of applications,1,2 such as assessment of growth and nutritional status, public health (in de®ning the prevalence of obesity) and interpreting energy expenditure data. Our current understanding of the normal development of body composition during childhood is heavily dependent on the concept of Fomon's `reference child'.3 This gives estimates of normal body composition based on a combination of theoretical considerations and empirical data on height and weight collected from children in the USA many years ago.4 The reference child concept represents notional values for normative fat and fat-free mass (FFM) at particular ages in childhood. These in turn give rise to assumptions concerning hydration, density and potassium content of FFM which underpin many of the historical *Correspondence: Dr C Ruxton, Research Manager, The Sugar Bureau, Duncan House, Dolphin Square, London SW1A 3PW, UK. E-mail: [email protected] Received 7 January 1999; revised 25 May 1999; accepted 22 June 1999 and current methods for measuring body composition. While the concept of the reference child has been extremely useful in the development of age- and sexspeci®c constants in body composition, and in the interpretation of body composition measurements, there are two major concerns about the existing data used to derive the `reference child'. First, secular trends in body fatness are occurring rapidly in the developed world in both children5,6 and adults.7 Second, the authors of the original reference data noted that their normative data should be considered preliminary and crude because of uncertainties about the data and the large number of assumptions required. Empirical data on body composition of normal healthy children are scarce, and empirical data on actual longitudinal changes in body composition during childhood are seldom available. The aims of this study were to: (a) obtain normative data on body composition and changes in body composition measured longitudinally in a sample of healthy Scottish 7- and 8-y-old children; and (b) compare these with data on the reference child. In addition to the estimates from skinfolds, data on fat mass, FFM and body fat from bioelectrical impedance analysis (BIA) are also presented since there are few longitudinal data collected by this method in the literature. Body composition in children CHS Ruxton et al Methods Subjects Following ethical approval from Queen Margaret College and Lothian Education Authority, healthy children aged 7 ± 8 y attending ®ve primary schools in Lothian Region, Scotland, were recruited for a study of dietary intake and anthropometry. Data collection for the study ran from February 1991 to March 1992, excluding school holidays. The children were a representative group for Edinburgh children of this age in terms of social class and gender, and have been described in detail elsewhere.8 Height, weight and skinfold thickness were measured during school hours in 98% of the target group (n 257). Eleven children were not measured due to absenteeism on the measurement day, and one child refused to be measured. After approximately 12 months, the measurements were repeated, this time obtaining 90% of the original sample (n 240). The 29 children not measured at the follow-up included 13 absentees, one child who refused (same child as on the ®rst occasion), and 15 children who had moved to other schools. Height A portable stadiometer (Minimetre, Child Growth Foundation, UK) measuring to 180 cm in 0.1 cm increments was used to measure height after being checked for accuracy in its position on the wall. Children were positioned and height was measured to the nearest 0.1 cm according to the method of Tanner et al.9 Weight A set of ¯oor scales (Soenle, Germany) weighing to 127 kg in 0.5 kg increments was used to measure weight after being checked for accuracy using a set of standard weights, weighing in 0.5 kg increments to 55 kg. Weight to the nearest 0.5 kg was measured after asking the child (wearing light indoor clothing and with shoes removed) to stand motionless on the scales with feet together. Body mass index (BMI) was computed as weight (kg)=height2(m). Skinfold thickness A set of metal Harpenden skinfold callipers was used (British Indicators Ltd, UK), which exert a constant pressure of 10 g=mm, measuring to 40 mm in 0.1 mm increments. The callipers were calibrated by the manufacturers prior to being used in the study, after which they were not used by any person other than the observer. Skinfold thicknesses at the tricep and subscapula regions were located and measured according to the technique described by Tanner et al.8 This was repeated three times on the left-hand side of the body and the mean of the measurements recorded to the nearest 1 mm. Fat mass, FFM and percentage body fat were calculated using the equation of Slaughter et al,10 which has been shown to produce unbiased estimates of fatness validated against hydrodensitometry in Scottish pre-pubertal children.11 All skinfold measurements were made by a single trained observer (CHSR). Bioelectrical impedance analysis (BIA) The equipment used was a BIA101 plethysmograph (RJL Systems, USA), measuring resistance to 1000 O in 1 O increments. BIA data were taken from 135 (52%) children at the ®rst measurement and 238 (93%) children at follow-up under unfasted conditions. The lower rate of participation at the ®rst measurement was due to a delay in ethical approval for this part of the study and affected data collection in two schools. Measurements of impedance were taken with the child placed in the supine position with legs slightly apart and arms not touching the body. A constant current of 80 mA at a signal frequency of 50 kHz was then applied. The equation of Houtkooper et al 12 was used to calculate FFM since it has been successfully cross-validated against hydrodensitometry in pre-pubertal Scottish children.13 This equation is as follows: FFM kg 0:61 RI 0:25 weight; kg 1:31 where RI equals height2 (cm)=resistance (ohms). Fat mass (kg) was then calculated by subtracting FFM from weight and both were expressed as a proportion of weight. Percentage body fat values which fell below a selected cut-off point of 3.99% were deemed to be unphysiological1 and were excluded from subsequent analyses. This affected ®ve cases at baseline and two at follow-up and may have been due to the low body weight and height of these children producing false results when resistance was measured. Statistical analysis Data were entered into SPSS 7.5 for Windows 95 and comparisons were made between baseline and followup values using paired t-tests. In the case of estimates of fat and FFM from BIA, this resulted in a drop in sample size due to the smaller group participating at baseline. Differences between boys and girls were examined using independent t-tests. Signi®cance was de®ned as P < 0.05. A comparison was made with the reference child by calculating con®dence intervals for each anthropometric variable. Our sample were deemed to be statistically different if the reference child value lay outside the appropriate con®dence interval. 1277 Body composition in children CHS Ruxton et al 1278 Results The mean age of the boys was 7.49 (0.37) y at baseline and 8.51 (0.39) y at follow-up, while the corresponding mean ages for girls were 7.52 (0.36) and 8.53 (0.39) y. Mean (s.d.) values for height, weight, BMI and measures of fatness calculated from skinfold thickness are given in Table 1 alongside values for the reference child. There were no signi®cant gender differences for height, weight and BMI at either age. However, fat mass in girls was greater at age 8 (P < 0.05), while FFM was greater in boys at ages 7 and 8 (P < 0.001). Table 1 In comparison with the reference child, boys and girls were signi®cantly taller, heavier, fatter and had a greater FFM at both ages. However, when percentage FFM was considered, boys and girls had lower levels than the reference child. The con®dence intervals for each of the anthropometric and body composition variables are given in Table 1. Measures of fatness calculated from BIA are given in Table 2. FFM and percentage FFM were greater in boys than girls at age 7 (P < 0.05) and at age 8 (P < 0.005). Fat mass and percentage body fat were lower in boys compared with girls at age 7 (P < 0.01) and at age 8 (P < 0.001). Table 3 shows how height, weight and measures of fatness changed over the 12 months in boys and girls. Comparison of absolute values with Fomon reference data Age 7 Variables Reference Boys Height (cm) 121.7 Weight (kg) 22.9 BMI 15.5 Fat mass (kg) 2.9 Percentage body fat 12.8 FFM (kg) 19.9 Percentage FFM 87.2 Girls Height (cm) 120.6 Weight (kg) 21.8 BMI 15.0 Fat mass (kg) Observed (s.d.) CI 16.8 FFM (kg) 18.1 Percentage FFM 83.2 Reference n 133 125.0 (5.4) 124.1 ± 125.9 25.1 (4.1) 24.4 ± 25.8 16.0 (1.8) 15.7 ± 16.4 4.4 (2.6) 3.9 ± 4.8 16.5 (6.1) 15.5 ± 17.6 20.7 (2.5) 20.3 ± 21.2 83.4 (6.0) 82.4 ± 84.5 n 124 124.0 (5.2) 123.1 ± 124.9 24.2 (4.2) 23.6 ± 25.1 15.8 (2.0) 15.4 ± 16.1 4.6 (2.5) 4.4 ± 5.3 19.0 (6.4) 17.8 ± 20.1 19.6 (2.5) 19.1 ± 20.0 81.0 (6.4) 79.9 ± 82.1 3.7 Percentage body fat Age 8 Observed (s.d.) CI n 124 130.2 (5.7) 129.2 ± 131.3 28.2 (4.6) 27.3 ± 29.0 16.5 (2.0) 16.2 ± 16.9 4.7 (2.8) 4.4 ± 5.4 16.9 (6.4) 15.8 ± 18.0 23.5 (2.8) 22.7 ± 23.7 83.1 (6.4) 81.9 ± 84.2 n 116 130.0 (5.5) 128.5 ± 130.6 27.8 (4.9) 26.9 ± 28.7 16.5 (2.2) 16.1 ± 16.9 5.8 (2.9) 5.3 ± 6.4 20.0 (6.3) 18.9 ± 21.2 22.0 (2.5) 21.5 ± 22.4 79.9 (6.2) 78.8 ± 81.1 127.0 25.3 15.7 3.3 13.0 22.0 87.0 126.4 24.8 15.5 4.3 17.4 20.5 82.6 Fat mass, FFM and percentage body fat estimated from skinfolds.10 CI con®dence interval. Table 2 Fat mass, FFM and percentage body fat from BIA at ages 7 and 8 y Age 7 Variable Mean Boys Fat mass (kg) Percentage body fat FFM (kg) Percentage FFM Girls Fat mass (kg) Percentage body fat FFM (kg) Percentage FFM n 65 3.4 13.3 21.0 86.7 n 75 4.0 16.0 20.0 84.0 CI con®dence interval. Age 8 s.d. CI 2.0 5.4 2.7 5.4 2.7 ± 3.8 11.5 ± 14.4 20.2 ± 21.6 85.4 ± 88.0 2.1 6.1 2.8 6.1 3.4 ± 4.4 14.3 ± 17.2 19.3 ± 20.6 82.6 ± 85.4 Mean n 122 4.3 14.8 24.0 85.2 n 116 5.2 18.2 22.6 81.8 s.d. CI 2.2 5.1 3.2 5.1 3.6 ± 4.8 13.5 ± 16.0 22.5 ± 24.0 84.3 ± 86.2 2.4 5.6 3.2 5.6 4.7 ± 5.9 17.2 ± 20.0 21.6 ± 23.1 80.8 ± 83.0 Body composition in children CHS Ruxton et al Table 3 1279 Changes in height, weight, BMI, FFM and percentage body fat over 12 months Variable Boys Height (cm=y) Weight (kg=y) BMI Percentage body fat (skinfold) Percentage FFM (skinfold) Fat mass (kg) BIA Percentage body fat (BIA) FFM (kg) BIA Percentage FFM (BIA) Girls Height (cm=y) Weight (kg=y) BMI Percentage body fat (skinfold) Percentage FFM (skinfold) Fat mass (kg) BIA Percentage body fat BIA FFM (kg) BIA Percentage FFM (BIA) n Mean change (s.d.) a Significance bof change; P < Correlation between baseline and follow up; r 120 120 120 120 120 56 56 56 56 5.4 (1.6) 3.2 (1.7) 0.54 (1.4) 0.6 (3.3) 7 0.6 (3.3) 1.0 (0.9) 1.9 (3.1) 0.1 (2.3) 7 1.8 (3.1) 0.001 0.001 0.001 ± 0.05 0.001 0.001 0.001 0.001 0.86 0.82 0.95 0.75 0.86 0.90 0.96 0.94 0.82 116 116 116 116 116 68 68 68 68 5.6 3.4 0.7 1.2 7 1.2 1.4 2.8 2.3 7 2.8 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.84 0.85 0.83 0.98 0.84 0.85 0.87 0.96 0.85 (1.2) (1.8) (1.1) (3.5) (3.5) (1.2) (3.3) (1.0) (3.2) a For height and weight, decimal time between the baseline and follow-up measurements was taken into account. Signi®cance of change analysed using a paired t-test. b Paired longitudinal data were available for 120 boys and 116 girls for measures which did not relate to BIA. All mean values were highly correlated and increased signi®cantly over the 12 months, except percentage FFM in both sexes, which signi®cantly decreased, and percentage body fat from skinfolds in boys, which remained constant. Height and weight velocity were similar between the sexes. Girls appeared to gain body fat and lose FFM at a greater rate than boys but any apparent differences were not statistically signi®cant. Table 4 compares the changes in height, weight, FFM and fat mass (both from skinfolds) with expected changes in the reference child. Con®dence intervals for the variables are also given. When compared with the `expected' changes from Fomon's3 data, our boys and girls gained both weight and fat mass at a Table 4 Comparison with Fomon reference data Ð changes in height (cm=y) and body composition (kg=y) for ages 7 ± 8 y Variable Reference Observed (s.d.) CI Boys n 120) Change in height (cm) 5.1 Change in weight (kg) 2.4 Change in fat mass (kg) 0.4 Change in FFM (kg) 2.0 Girls (n 116) Change in height (cm) 5.4 (0.14) 5.1 ± 5.6 3.2 (1.6)a 2.9 ± 3.5 0.7 (1.2)a 0.5 ± 1.0 2.5 (1.3)a 2.3 ± 2.7 5.8 Change in weight (kg) 2.9 Change in fat mass (kg) 0.6 Change in FFM (kg) 2.3 Fat mass and FFM calculated from skinfolds.10 a Signi®cantly different from Fomon standard. 5.6 (0.11) 5.4 ± 5.8 3.4 (1.9)a 3.1 ± 3.8 1.0 (1.3)a 0.8 ± 1.3 2.4 (1.2) 2.1 ± 2.6 signi®cantly greater rate than the reference child. The increase in absolute FFM was greater in boys compared with the reference child but not in girls. Gains in height were similar to the reference child in both sexes. Discussion Despite similarities in height and weight between the sexes at ages 7 and 8, this pre-pubertal group of children were already showing body composition differences commensurate with their gender. While BMI was similar between the sexes, values for percentage body fat (calculated from both skinfolds and BIA) suggested that the girls were fatter than the boys. Similar observations about pre-pubertal differences in fat and FFM have been made by others.14,15 Pietrobelli et al 15 detected differences in fatness between boys and girls (P < 0.05) using BMI as a proxy for body fatness. We found no such difference using this method in our sample. A possible explanation for the apparent lack of agreement between percentage body fat and BMI in our study could be that boys had more FFM but less body fat than girls for a similar weight. Thus, differences in the proportion of these components might be masked by BMI, which is dependent on weight and height. Bandini et al 16 have also reported a low accuracy of BMI compared with skinfolds when estimating fatness in pre-pubertal children. When the changes in anthropometry and body composition occurring between baseline and followup were examined, all measures increased except percentage FFM in both sexes and percentage body fat from skinfolds in boys. This may have been Body composition in children CHS Ruxton et al 1280 because boys were accumulating truncal rather than peripheral fat mass, since the estimate of fat mass from BIA did increase signi®cantly over the 12 months. However, it is acknowledged that the BIA longitudinal sample was small and this may have contributed bias. The only way of properly assessing differences in fat compartments over time is by using a multi-compartmental model, which would have been inappropriate for a ®eld study design such as ours. However, there are bene®ts of our two-compartment ®eld study over that of a technically superior multicompartmental study. Sample sizes can be larger, ethical approval is more likely to be given and a more representative group of children can be studied. The change in percentage FFM in both boys and girls over time was intriguing because the value went down instead of up. It seemed that FFM as a proportion of body weight was being lost in favour of a gain in fat mass. This is a worrying trend and could represent insuf®cient exercise in this age group. Girls appeared to be gaining percentage body fat and losing percentage FFM at a greater rate compared with boys, but the difference failed to reach signi®cance. This may have been because variation in percentage body fat was too broad within our sample size, and it would be interesting to repeat the gender comparison in a larger group. The primary purpose of this study was to provide normative data on body composition, and longitudinal body composition changes in a sample representative of Edinburgh 7 ± 8 y-olds. The choice of the skinfold thickness method to estimate body composition might be considered unusual and needs to be justi®ed. The advantages of skinfold thicknesses for our study were deemed to be twofold. First, in ®eld-based community studies of this type, `®eld' methods of estimating body composition (for example skinfolds, BIA) are the only practical options.2 Second, we have previously shown that the Slaughter prediction equation,10 derived originally from a multi-component model, provided unbiased estimates of body fatness relative to hydrodensitometry in Scottish pre-pubertal children.11 The use of skinfolds is known to be subject to technical error, but this was minimized by the use of a single trained observer, although it is worth considering that such errors are inherent even in reference methods such as hydrodensitometry.1 Errors in prediction equations to estimate body composition from skinfolds have been subjected to detailed considerations of acceptability1 and the equations used here produced errors which were within the limits of acceptability.2,11 The comparison with the reference child,3 based on theoretical considerations and data collected in the 70s, revealed that our sample was taller, heavier and fatter. Indeed, a study of growth trends in over 7000 British children between 1972 and 19946 revealed a similar ®nding. The striking differences arose when FFM and fat mass were expressed as a percentage of weight. Our sample demonstrated proportionally more fat and less FFM at both ages compared with the reference child. When growth rates were examined, our sample was gaining height at a similar rate to the reference child, but putting on proportionally more weight and body fat and failing to gain suf®cient FFM. This lends support to a worrying trend that our rapidly growing modern children are getting rapidly fatter as well. Two implications arise from this ®nding. If the reference child is no longer an appropriate representation of normal body composition, current assumptions about the nature of FFM in children may need to be revised since many of these are based on Fomon's data. Since age-speci®c assumptions about the composition of FFM underpin many body composition methods, an investigation into the validity of the constants used in these methods is warranted. Such an approach would require empirical data based on multi-component models Ð an option that was not available at the time of the construction of Fomon's reference child. A second implication of the present study's ®ndings relates to the use of body composition standards in clinical and research situations to estimate the prevalence of childhood obesity. While it is possibly acceptable that a new reference would take into account secular changes in height and weight, any upward revision of the level of `normal' fatness might not be appropriate in a public health context where a key aim is to identify and treat children whose body fat levels are unacceptably high. A full debate is needed on how this issue should be resolved. To conclude, this study demonstrates that modern children have outgrown the Fomon standard for the `reference child' and are now taller, heavier and fatter than expected. This may have implications for paediatric body composition methodology and the use of such standards for public health purposes. Acknowledgements The project was ®nancially supported by a Queen Margaret College studentship (CHSR) and contributions from the Kellogg Company of Great Britain and the Scottish Dairy Council. The assistance of Dr Angelo Pietrobelli in reviewing this manuscript is gratefully acknowledged. References 1 Lohman TG. Advances in body composition assessment. Monograph no. 3. Human Kinetics Publishers: Champaign, IL, 1993. 2 Reilly JJ. Assessment of body composition in infants and children. Nutrition 1998; 14: 821 ± 825. 3 Fomon SJ, Haschke F, Ziegler EE, Nelson SE. Body composition of reference children from birth to age 10 years. 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